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Generative AI Engineer

4 months ago

Allen, United States Booz Allen Hamilton Full time

As an experienced engineer, you know that machine learning is critical to understanding and processing massive datasets. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a Generative Artificial Intelligence (GenAI) engineer, you understand how to harness the power of emerging large language model (LLM) and GenAI tools to build solutions that enable clients to take advantage of their data and offer new solutions to customers. In this role, you’ll own and define the direction of mission-critical solutions by applying best-fit machine learning (ML) and GenAI algorithms and technologies. You’ll be part of a large community of ML and GenAI engineers across the firm and collaborate with data engineers, data scientists, software engineers, solutions architects, and product owners to deliver world-class solutions to real-world problems: processing data and information at a massive scale, developing pipelines that optimize the use of infrastructure, and integrating critical technologies into efficient user experiences. Your advanced consulting skills and extensive technical expertise will guide clients as they navigate the landscape of LLM and ML algorithms, tools, and frameworks. Work with us to solve real-world challenges and define GenAI and ML strategy for our firm and our clients. Join us. The world can’t wait. You Have: 5+ years of experience with data science, ML engineering, data analytics, or AI 5+ years of experience with an object-oriented language Experience with AWS or Azure cloud technologies Experience with GenAI and LLM tools and frameworks Experience with data science projects in NLP, generative AI, or deep learning focus Experience with building data science and AI or ML solutions that support enterprise operational business and mission use cases Experience with modern Cloud containerization computing te chn ologies and CI/CD, including Docker or Kubernetes Ability to design environments that support MLOps pipelines by creating architecture diagrams, process flows, selecting appropriate tooling, and deploying the solution Ability to obtain a security clearance Nice If You Have: Experience with

Python, C, or Java Experience Huggingface, LangChain, AutoGPT, AgentGPT, or similar tools Experience with GPU programming, including CUDA or RAPIDs Experience with MLOps open source and Commercial Off the Shelf (COTS) products, such as MLFlow, Databricks, Domino, or SageMaker Experience with addressing functional, technical, and performance requirements and evaluating architectural tradeoffs for data science and AI or ML solutions Knowledge of the latest emerging LLM and GenAI tools and frameworks Ability to work in a team environment and effectively communicate technical concepts to clients, stakeholders, and senior leaders Master's degree in Computer Science or Statistics Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Grow With Us Your growth matters to us—that’s why we offer a variety of ways for you to develop your career. With professional and leadership development opportunities like

upskilling programs

, tuition reimbursement, mentoring, and firm-sponsored networking, you can chart a unique and fulfilling career path on your own terms. A Place Where You Belong Diverse perspectives cultivate collective ingenuity.

Booz Allen’s culture of respect, equity, and opportunity

means that, here, you are free to bring your whole self to work. With an array of business resource groups and other opportunities for connection, you’ll build your community in no time. Our

comprehensive benefits package

includes wellness programs with HSA contributions, paid holidays, paid parental leave, a generous 401(k) match, and more. With these benefits, plus the option for flexible schedules and remote and hybrid locations, we’ll support you as you pursue a balanced, fulfilling life—at work and at home. Your Candidate Journey At Booz Allen, we know our people are what propel us forward, and we value relationships most of all.

Here, we’ve compiled a list of resources

so you’ll know what to expect as we forge a connection with you during your journey as a candidate with us. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $96,600.00 to $220,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Generative AI Engineer

The Opportunity: As an experienced engineer, you know that machine learning is critical to understanding and processing massive datasets. In an increasingly connected world, massive amounts of structured and unstructured data open new opportunities. As a Generative Artificial Intelligence (GenAI) engineer, you understand how to harness the power of emerging large language model (LLM) and GenAI tools to build solutions that enable clients to take advantage of their data and offer new solutions to customers. In this role, you’ll own and define the direction of mission-critical solutions by applying best-fit machine learning (ML) and GenAI algorithms and technologies. You’ll be part of a large community of ML and GenAI engineers across the firm and collaborate with data engineers, data scientists, software engineers, solutions architects, and product owners to deliver world-class solutions to real-world problems: processing data and information at a massive scale, developing pipelines that optimize the use of infrastructure, and integrating critical technologies into efficient user experiences. Your advanced consulting skills and extensive technical expertise will guide clients as they navigate the landscape of LLM and ML algorithms, tools, and frameworks. Work with us to solve real-world challenges and define GenAI and ML strategy for our firm and our clients. Join us. The world can’t wait. You Have: 5+ years of experience with data science, ML engineering, data analytics, or AI

5+ years of experience with an object-oriented language

Experience with AWS or Azure cloud technologies

Experience with GenAI and LLM tools and frameworks

Experience with data science projects in NLP, generative AI, or deep learning focus

Experience with building data science and AI or ML solutions that support enterprise operational business and mission use cases

Experience with modern Cloud containerization computing te chn ologies and CI/CD, including Docker or Kubernetes

Ability to design environments that support MLOps pipelines by creating architecture diagrams, process flows, selecting appropriate tooling, and deploying the solution

Ability to obtain a security clearance

Bachelor's degree

Nice If You Have: Experience with

Python, C, or Java

Experience Huggingface, LangChain, AutoGPT, AgentGPT, or similar tools

Experience with GPU programming, including CUDA or RAPIDs

Experience with MLOps open source and Commercial Off the Shelf (COTS) products, such as MLFlow, Databricks, Domino, or SageMaker

Experience deploying RAG architectures using open source LLMs

Experience with addressing functional, technical, and performance requirements and evaluating architectural tradeoffs for data science and AI or ML solutions

Knowledge of the latest emerging LLM and GenAI tools and frameworks

Ability to work in a team environment and effectively communicate technical concepts to clients, stakeholders, and senior leaders

Secret clearance

Master's degree in Computer Science or Statistics

Clearance: Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information. Create Your Career: Grow With Us Your growth matters to us—that’s why we offer a variety of ways for you to develop your career. With professional and leadership development opportunities like

upskilling programs

, tuition reimbursement, mentoring, and firm-sponsored networking, you can chart a unique and fulfilling career path on your own terms. A Place Where You Belong Diverse perspectives cultivate collective ingenuity.

Booz Allen’s culture of respect, equity, and opportunity

means that, here, you are free to bring your whole self to work. With an array of business resource groups and other opportunities for connection, you’ll build your community in no time. Support Your Well-Being Our

comprehensive benefits package

includes wellness programs with HSA contributions, paid holidays, paid parental leave, a generous 401(k) match, and more. With these benefits, plus the option for flexible schedules and remote and hybrid locations, we’ll support you as you pursue a balanced, fulfilling life—at work and at home. Your Candidate Journey At Booz Allen, we know our people are what propel us forward, and we value relationships most of all.

Here, we’ve compiled a list of resources

so you’ll know what to expect as we forge a connection with you during your journey as a candidate with us. Compensation At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen’s benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page. Salary at Booz Allen is determined by various factors, including but not limited to location, the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $96,600.00 to $220,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen’s total compensation package for employees. This posting will close within 90 days from the Posting Date.

Work Model Our people-first culture prioritizes the benefits of flexibility and collaboration, whether that happens in person or remotely. If this position is listed as remote or hybrid, you’ll periodically work from a Booz Allen or client site facility. If this position is listed as onsite, you’ll work with colleagues and clients in person, as needed for the specific role. EEO Commitment We’re an equal employment

opportunity/affirmative

action employer that empowers our people to fearlessly drive change – no matter their race, color, ethnicity, religion, sex (including pregnancy, childbirth, lactation, or related medical conditions), national origin, ancestry, age, marital status, sexual orientation, gender identity and expression, disability, veteran status, military or uniformed service member status, genetic information, or any other status protected by applicable federal, state, local, or international law.

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